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|Title:||Adaptive Sliding-Mode-Observer-Based Fault Reconstruction for Nonlinear Systems With Parametric Uncertainties|
|Publisher:||Institute of Electrical and Electronics Engineers (IEEE)|
|Citation:||IEEE Transactions on Industrial Electronics, 2008, 55 (11), pp. 4029-4036.|
|Abstract:||In this paper, a class of nonlinear systems with uncertain parameters is considered. A novel adaptive law is designed to identify unknown parameters under the assumption that the time derivative of some of the outputs is measurable. Then, a sliding-mode observer is proposed to estimate the system state variables. By using the inherent features of sliding-mode observers, a fault-reconstruction scheme is proposed which can be implemented online. The proposed reconstruction signal can approximate the fault signal to any required accuracy even in the presence of uncertain parameters. A simulation example for a magnetic-levitation system is given to illustrate the feasibility and effectiveness of the proposed scheme.|
|Rights:||© 2008 IEEE.|
|Description:||Metadata only entry.|
|Appears in Collections:||Published Articles, Dept. of Engineering|
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